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Application of Genetic Algorithms to the Optimization of a Roll-Type Electrostatic Separation Process

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6 Author(s)
Dahou, O. ; Lab. Interaction Reseaux Electr. Convertisseur Machine, Univ. Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbès, Algeria ; Medles, K. ; Touhami, S. ; Boukhoulda, M.F.
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The aim of this work is the development of a procedure for optimal control of electrostatic separation processes for the recycling industry using a genetic algorithm. The target is to maximize the conductor product, with the control variables being the high voltage that supplies the electrode system of the roll-type corona-electrostatic separator and the inclination of the splitter between the two compartments in which are collected the conductor product and the middling. The effectiveness of the procedure is tested against a situation of dysfunction that can occur in industrial practice: a variation of the speed of the rotating roll electrode.

Published in:

Industry Applications, IEEE Transactions on  (Volume:47 ,  Issue: 5 )

Date of Publication:

Sept.-Oct. 2011

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